Triple

T7721578
Position Surface form Disambiguated ID Type / Status
Subject Wiener Neustadt E175023 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Graz E91728 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Graz | Statement: [Wiener Neustadt, hasRailConnectionTo, Graz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graz
Context triple: [Wiener Neustadt, hasRailConnectionTo, Graz]
  • A. Graz chosen
    Graz is Austria’s second-largest city, known for its well-preserved medieval old town and historic role as a center of science and education.
  • B. Villach
    Villach is a historic city in southern Austria known for its Alpine setting, thermal spas, and role as a regional transport and cultural hub.
  • C. Klagenfurt
    Klagenfurt is the capital city of the Austrian state of Carinthia, known for its historic old town and proximity to Lake Wörthersee.
  • D. St. Pölten
    St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
  • E. Linz
    Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f1786881908b025d8986e5f1fa completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8f30c099081909aaeac321fbf0066 completed March 29, 2026, 9:38 a.m.
Created at: March 27, 2026, 4:05 p.m.